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A Food Data-Nutrition Intelligence Framework to Support UK Food System Transformation
Lewis Wallis1, Danielle McCarthy2
1Independent Researcher, Leeds, UK.
The Proceedings of the Nutrition Society
|July 27, 2026
Summary
This review examines UK food system transformation, highlighting opportunities and challenges in data, digital technology, and policy. Integrating fragmented data is key for a healthier food future.
Area of Science:
- Food Science and Technology
- Public Health
- Data Science
Background:
- The UK food system faces transformation driven by digital technology and artificial intelligence.
- Vast amounts of data are generated across food supply chains, retail, and consumer behaviour.
- Individuals increasingly access and generate food and health information via digital platforms.
Purpose of the Study:
- To explore current opportunities and challenges in achieving a healthier food system transformation in the UK.
- To identify barriers to integrating diverse data sources for improved food system outcomes.
- To provide insights for policy, industry, and academia.
Main Methods:
- This study is a review of current literature and trends.
- It synthesizes information on data, health metrics, nutrition science, digital technology, and policy.
- Analysis focuses on the UK context for healthier food system transformation.
Main Results:
- Rapid advancements in digital technology and AI have reshaped food production, marketing, and consumption.
- Despite data abundance, fragmentation, inconsistent definitions, and misaligned timelines hinder integration.
- Challenges exist in harmonizing health metrics and data across different sectors.
Conclusions:
- Effective and timely integration of data is limited by fragmentation and misaligned approaches.
- Addressing these challenges is crucial for successful healthier food system transformation in the UK.
- Collaboration across academic, policy, and industry sectors is essential.
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